Some might say the ability to see into the future belongs to psychics and fortune tellers, but predicting customer satisfaction isn't only for the clairvoyant (or someone doing manual ticket triage and making their best guess). It's now something we can all do when armed with the right tools and data.

Many companies today measure customer satisfaction. It's an important customer service metric, but one that typically isn't being used to improve operations or help reduce customer churn. By applying machine learning and predictive analytics, you can now improve your customer relationships over the long-term, and can predict in the moment how likely a ticket is to receive a good or bad rating, allowing you to take action to ensure a positive outcome.